Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+import torch
+from transformers import pipeline
+
+# Load Hugging Face text generation pipeline
+pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", device_map="auto", torch_dtype=torch.float16)
+
+# Function to generate questions
+def generate_questions(text):
+    prompt = f"Ask 5 short, simple comprehension questions about this English coursebook text:\n\n{text}"
+    output = pipe(prompt, max_new_tokens=200, do_sample=True)[0]["generated_text"]
+    return output.strip()
+
+# Gradio Interface
+demo = gr.Interface(fn=generate_questions, inputs="textbox", outputs="textbox", title="Coursebook Question Generator")
+
+demo.launch()